code: def mse_loss(pred: Tensor, target: Tensor) -> Tensor:
      """A Wrapper of MSE loss.
      Args:
          pred (Tensor): The prediction.
          target (Tensor): The learning target of the prediction.
  
      Returns:
          Tensor: loss Tensor
      """
      return F.mse_loss(pred, target, reduction="none")
  
file_path: mmdetection/mmdet/models/losses/mse_loss.py
imports: from typing import Optional
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from mmdet.registry import MODELS
  from .utils import weighted_loss
label_desc: Use image node_id 1 for calling a global function with example usage: mse_loss(pred, target) and returns: F